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results in the form of scientific publications and by participating in international conferences and workshops. Contribute to supervision of PhD, MSc and BSc students and other teaching activities
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surface wetting methods Analyzing and reporting of obtained results, and planning the future work based on the results Working closely together with the other team members Contributing to the maintenance
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to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using combinations of multiple ‘modes’ of expression. These methods and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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of Languages and funded by an ERC Consolidator Grant awarded to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in logical reasoning is essential Demonstrable research experience in SAT/ASP/SMT/MaxSAT Excellent English
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related